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Record W2331697717 · doi:10.1136/jech.2011.142976h.78

P2-42 Risk and social determinants of angina in older people in China: rose angina questionnaire and doctor-diagnosis approaches

2011· article· en· W2331697717 on OpenAlexaboutno aff
Ruoling Chen

Bibliographic record

VenueJournal of Epidemiology & Community Health · 2011
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnginaLogistic regressionWaistDiabetes mellitusCanadian Cardiovascular SocietyDemographyBody mass indexInternal medicinePhysical therapyMyocardial infarction

Abstract

fetched live from OpenAlex

Background The risk of angina and its social determinants in the elderly in China are not well documented. We determined the prevalence and socio-economic predictors of angina in Chinese elderly using the Rose Angina questionnaire and doctor-diagnosed of angina. Methods Using a standard interview method, we examined random samples of 4314 participants aged ≥60 years in Guangdong, Heilongjiang, Shanghai and Shanxi provinces during 2008–2009. An angina diagnosis was based on the Rose Angina questionnaire and a doctor-diagnosis. An age-sex adjusted logistic regression model was employed to determine the association between angina and sociodemographic variables. Results The world age-standardised prevalence of angina using the Rose Angina questionnaire (n=246) was 5.74% (95% CI 5.00% to 6.47%); in men 3.69% (2.75% to 4.63%), in women 7.22% (6.15% to 8.29%). Corresponding values for doctor-diagnosed angina (n=282) were 6.54% (5.76% to 7.32%); in men 5.08% (4.00% to 6.17%), in women 7.67% (6.56% to 8.77%). There was a fair agreement between two diagnoses (overall κ=0.38, in men 0.35, in women 0.40; all p<0.001). For both measures the likelihood of a diagnosis of angina was greater in women, heavier body weight, higher BMI, cigarette smoking and hypertension. Doctor diagnosed angina was associated with higher levels of educational attainment and higher occupation class, living in an urban area, taller height, larger waist circumference and diabetes. A diagnosis of angina based on the Rose Angina questionnaire was associated with low income only. Conclusions Older people in China may have a low prevalence of angina. The association between an angina diagnosis based on the Rose Angina questionnaire and low income, and between a doctor diagnosis of angina and high socioeconomic status and urban living suggests that significant health and care inequalities in cardiovascular medicine exist in China.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.109
GPT teacher head0.367
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes1
Has abstractyes

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